Triple

T528103
Position Surface form Disambiguated ID Type / Status
Subject Vikingskipet E10967 entity
Predicate hasTrackLength P14300 FINISHED
Object 400 metres LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 400 metres | Statement: [Vikingskipet, hasTrackLength, 400 metres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTrackLength
Context triple: [Vikingskipet, hasTrackLength, 400 metres]
  • A. hasTrack
    Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
  • B. numberOfTracks
    Indicates the quantity of tracks associated with a given entity.
  • C. hasTrailLength chosen
    Indicates that an entity (such as a trail or route) has a specific measured length.
  • D. isFeatureLength
    Indicates that something (typically a film or video) has a duration long enough to be considered a full-length, standard feature.
  • E. hasTunnelLengthApprox
    Indicates that an entity has a tunnel whose length is approximately a specified value.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d2851c81908129f7da932ab7b3 completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f01ac3ec8190a94a05955532c7fa completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.